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Tools for Individuals: Difference between revisions
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== Machine Learning Application Areas ==
* '''[[Understanding Personal Carbon Footprint|Understanding personal carbon footprint]]:''' Individuals and households constantly make decisions that affect their carbon footprint, and many wish to reduce their impact. ML can help quantify the climate impact of consumer products and actions, estimate the benefits resulting from personal behavior change, provide appliance-level residential energy use data, identify households with high potential for efficiency gain, and optimize appliances to operate when low-carbon electricity is available.
* '''[[Facilitating Behavior Change|Facilitating behavior change]]:''' Many individuals are eager to contribute to climate change solutions, and engaging them can be highly impactful. ML can help effectively inform people and provide them constructive opportunities by modeling consumer behavior and simplifying information on climate-relevant laws and policies.
== Background Readings ==
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*'''[https://www.watttime.org/ WattTime] -''' Predicts marginal emissions cost of energy consumption in real time.
*[http://data.footprintnetwork.org/#/ '''Ecological Footprint Explorer'''] - an interactive tool to explore the Ecological Footprint and biocapacity for over 200 countries and regions, updated annually.
*[https://carbonintensity.org.uk/ '''Carbon Intensity API'''] - 96+ hour ahead forecast of UK carbon intensity in real time.
== Data ==
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